Quality of life before and after total knee arthroplasty in clinical settings across Lahore, Pakistan
Bibliographic record
Abstract
Knee osteoarthritis is a common disabling condition that affects a larger number of populations aged above 40 years and this habitually required knee arthroplasty to reinstate leg function, to improve the pain as well as to improve stability. The main objective of this study was to determine the health-related quality of lifestyle before and after total knee arthroplasty. This study was a cross-sectional observational study conducted at Shaukat Khanum Memorial Cancer Hospital & Research Centre, HorizonHospital and Mayo Hospital, Lahore-Pakistan. In this study, 100 subjects were selected who were scheduled for Total Knee Replacement (TKR) due to advanced stages of knee osteoarthritis. Informed consent was taken from all selected patients. Selected subjects meeting inclusion and exclusion criteria were enrolled for this study. Subjects with any red flag signs or systemic illness were excluded. A baseline measurement was taken by using visual-analog scale (VAS) for pain, the Short Form 36 (SF-36) for health-related quality of life and The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for disability. Measurements using these scales were repeated after 1, 3 and 6 months after knee arthroplasty. Analysis of variance (ANOVA) test was used to determine statistically significant changes in VAS, SF 36 and WOMAC Score across 06 months. A significant (p<0.05) improvement in health-related quality of life measured of two subscales of SF 36 (Physical Health Component and Mental Health Component) when before surgery readings were compared with that of after 06 months of surgery. Similarly, there was also significant (p<0.05) reduction in pain measured on VAS as well as reduced WOMAC score before and after 06 months of surgery. It could be concluded that TKA results in the improvementof the quality of life and reduced pain following total knee arthroplasty.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".